NVIDIA is looking to scale up New Product Introduction (NPI) for its AI Infrastructure to advance its capacity to build and deploy leading infrastructure solutions for AI-based applications.
Requirements
- Experience with at scale infrastructure, DevOps and/or SRE practices and/or Platform Engineering.
- System-level experience with both hardware and software
- Developing ML/AI infrastructure.
- Developing bare metal as a service (BMaaS) associated systems.
- Developing multi-cloud infrastructure services.
- Interest in crafting, analyzing and fixing large-scale distributed systems.
Responsibilities
- Lead technical activities for new product introductions at scale with focus on hybrid deployments between cloud and on-prem
- Providing expertise in new product introduction planning spanning infrastructure workflows, hardware, software release, workload orchestration and application tuning
- Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification
- Translate requirements to vision, architecture and roadmap
- Work with engineering teams across NVIDIA to ensure new product architectures integrate seamlessly from the hardware all the way up to the AI training applications.
- Developing ML/AI infrastructure.
- Developing multi-cloud infrastructure services.
Other
- We expect you to have a deep understanding of new product introductions (NPIs), distributed systems, familiarity with software testing and deployment, and excellent communication and planning abilities.
- We also welcome out-of-the-box thinkers who can provide new ideas with strong execution bias.
- Expect to be constantly challenged, improving, and evolving for the better.
- BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.
- Systematic problem-solving approach, coupled with strong communications skills and a sense of ownership and drive.
